Cloud programming simplified: A berkeley view on serverless computing E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019 | 669 | 2019 |

Occupy the cloud: Distributed computing for the 99% E Jonas, Q Pu, S Venkataraman, I Stoica, B Recht Proceedings of the 2017 symposium on cloud computing, 445-451, 2017 | 548 | 2017 |

Could a neuroscientist understand a microprocessor? E Jonas, KP Kording PLoS computational biology 13 (1), e1005268, 2017 | 335 | 2017 |

DeepLoco: fast 3D localization microscopy using neural networks N Boyd, E Jonas, H Babcock, B Recht BioRxiv, 267096, 2018 | 102 | 2018 |

Serverless linear algebra V Shankar, K Krauth, K Vodrahalli, Q Pu, B Recht, I Stoica, ... Proceedings of the 11th ACM Symposium on Cloud Computing, 281-295, 2020 | 86 | 2020 |

Rapid prediction of NMR spectral properties with quantified uncertainty E Jonas, S Kuhn Journal of Cheminformatics 11, 2019 | 85 | 2019 |

Flare prediction using photospheric and coronal image data E Jonas, M Bobra, V Shankar, J Todd Hoeksema, B Recht Solar Physics 293 (3), 48, 2018 | 85 | 2018 |

3D imaging in volumetric scattering media using phase-space measurements HY Liu, E Jonas, L Tian, J Zhong, B Recht, L Waller Optics express 23 (11), 14461-14471, 2015 | 85 | 2015 |

Towards machine learning on the automata processor T Tracy, Y Fu, I Roy, E Jonas, P Glendenning High Performance Computing: 31st International Conference, ISC High …, 2016 | 72 | 2016 |

Numpywren: Serverless linear algebra V Shankar, K Krauth, Q Pu, E Jonas, S Venkataraman, I Stoica, B Recht, ... arXiv preprint arXiv:1810.09679, 2018 | 65 | 2018 |

Automatic discovery of cell types and microcircuitry from neural connectomics E Jonas, K Kording Elife 4, e04250, 2015 | 58 | 2015 |

Prediction of chemical shift in NMR: A review E Jonas, S Kuhn, N Schlörer Magnetic Resonance in Chemistry 60 (11), 1021-1031, 2022 | 48 | 2022 |

Crosscat: A fully bayesian nonparametric method for analyzing heterogeneous, high dimensional data V Mansinghka, P Shafto, E Jonas, C Petschulat, M Gasner, ... MIT Press, 2016 | 36 | 2016 |

Stochastic digital circuits for probabilistic inference VK Mansinghka, EM Jonas, JB Tenenbaum Massachussets Institute of Technology, Technical Report MITCSAIL-TR 2069, 2008 | 33 | 2008 |

Cloud programming simplified: a Berkeley view on serverless computing. CoRR abs/1902.03383 (2019) E Jonas, J Schleier-Smith, V Sreekanti, C Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019 | 30 | 2019 |

Stochastic architectures for probabilistic computation EM Jonas Massachusetts Institute of Technology, 2014 | 27 | 2014 |

Deep imitation learning for molecular inverse problems E Jonas Advances in Neural Information Processing Systems, 2019 | 26 | 2019 |

Cloud programming simplified: A berkeley view on serverless computing. arXiv 2019 E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 0 | 25 | |

Building fast bayesian computing machines out of intentionally stochastic, digital parts V Mansinghka, E Jonas arXiv preprint arXiv:1402.4914, 2014 | 23 | 2014 |

Cross-categorization: A method for discovering multiple overlapping clusterings VK Mansinghka, E Jonas, C Petschulat, B Cronin, P Shafto, ... Nonparametric Bayes Workshop at NIPS, 2009 | 22 | 2009 |